Ing-Tsung Hsiao

12 papers B 3Journal 7Unranked 2
YearRankTypeTitle / Venue / Authors
2025 J jnl
J. Imaging Inform. Medicine
Tsung-Ying Ho, Shu-Hua Huang, Chi-Wei Huang, Kun-Ju Lin, Jung-Lung Hsu, Kuo-Lun Huang, Ko-Ting Chen, Chiung-Chih Chang, Ing-Tsung Hsiao, Sheng-Yao Huang
2018 J jnl
Sensors
Nicola D'Ascenzo, Min Gao, Emanuele Antonecchia, Paolo Gnudi, Hsien-Hsin Chen, Fang-Hsin Chen, Ji-Hong Hong, Ing-Tsung Hsiao, Tzu-Chen Yen, Weidong Wang, Daoming Xi, Bo Zhang, Qingguo Xie
2015 J jnl
Comput. Medical Imaging Graph.
Yu-Jung Tsai, Hsuan-Ming Huang, Yu-Hua Dean Fang, Shi-Ing Chang, Ing-Tsung Hsiao
2006 B conf
Image Processing
Hsuan-Ming Huang, Ing-Tsung Hsiao, Christian Wietholt, Ching-Han Hsu
2004 conf
ISBI
Ing-Tsung Hsiao, Anand Rangarajan, Parmeshwar Khurd, Gene Gindi
2003 J jnl
IEEE Trans. Medical Imaging
Ing-Tsung Hsiao, Anand Rangarajan, Gene Gindi
2003 J jnl
J. Electronic Imaging
Ing-Tsung Hsiao, Anand Rangarajan, Gene Gindi
2002 conf
ISBI
Ing-Tsung Hsiao, Anand Rangarajan, Gene Gindi
2002 J jnl
IEEE Trans. Image Process.
Ing-Tsung Hsiao, Anand Rangarajan, Gene Gindi
2002 B conf
Image Processing
Ing-Tsung Hsiao, Anand Rangarajan, Gene R. Gindi
2001 B conf
Image Processing
Ing-Tsung Hsiao, Anand Rangarajan, Gene R. Gindi
2000 J jnl
J. Math. Imaging Vis.
Anand Rangarajan, Ing-Tsung Hsiao, Gene Gindi
redb/extractors/pe_extractors/pe_sections.py
← Index redb/extractors/pe_extractors/pe_sections.py python
import base64
import hashlib
import inspect
from redb.extractors.enum import Tag
from redb.extractors.pe_extractor import PEExtractor
from redb.models.dataclasses import PESection
from datetime import datetime, timezone
from typing import Any


class PESectionExtractor(PEExtractor):

    def __init__(
        self,
        filepath,
        log,
        exporters=None,
        index_prefix=None,
        elastic_index=None,
        known_benign=False,
        known_malicious=False,
        pe=None,
    ):
        super().__init__(
            filepath,
            log,
            exporters,
            index_prefix,
            elastic_index,
            known_benign,
            known_malicious,
            pe,
        )
        self.elastic_index = self.index_prefix + "-pe_sections"
        self.log.debug(inspect.currentframe().f_code.co_name)

    def tag(self):
        return Tag.PE_SECTION.value

    def _extract_sections(self):
        self.log.debug(inspect.currentframe().f_code.co_name)
        sections = []
        for section in self.pe.sections:
            try:
                name = self.process_binary_string(section.Name)
            except Exception as e:
                name = "UnableToDecode"
                self.log.warning(
                    f'Unable to store section Name "{section.Name}" for {self.hash.sha256}'
                    f" exception {e}"
                )
            sec_sha256 = section.get_hash_sha256()
            sec_md5 = section.get_hash_md5()
            # sec_entropy = "%.2f" % section.get_entropy()
            sec_entropy = section.get_entropy()
            pe_section = PESection(
                _id=hashlib.sha256(
                    name.encode()
                ).hexdigest(),  # usecase 8e035beb02a411f8a9e92d4cf184ad34f52bbd0a81a50c222cdd4706e4e45104, all section have same sha256
                section_name=name,
                section_name_b64=base64.b64encode(
                    section.Name.rstrip(b'\x00')
                ).decode(),  # base64.b64decode(b64) to decode
                section_v_addr=section.VirtualAddress,
                section_v_addr_hex=hex(section.VirtualAddress),
                section_v_size=section.Misc_VirtualSize,
                section_size=section.SizeOfRawData,
                section_pointer_to_raw_data=hex(section.PointerToRawData),
                section_md5=sec_md5,
                section_sha256=sec_sha256,
                section_entropy=sec_entropy,
            )
            sections.append(pe_section)
        return sections

    def extract(self):
        self.log.debug(inspect.currentframe().f_code.co_name)
        try:
            sections = self._extract_sections()
            # self.export_to_elastic(sections)  # Let the exporters handle this
            return sections
        except Exception as e:
            self.log.error(f"Error extracting PE sections: {e}")
            return None

    def prepare_export_data(self, exporter_type: str) -> Any:
        if exporter_type == "ElasticsearchExporter":
            return self.extract()
        elif exporter_type == "ClickHouseExporter":
            sections = self.extract()
            if sections is None:
                return None
            
            data = []
            current_time = datetime.now(timezone.utc)
            
            for section in sections:
                data.append([
                    self.sha256,                          # sha256
                    self.md5,                             # md5
                    self.sha1,                            # sha1
                    section.section_name,                 # section_name
                    section.section_name_b64,             # section_name_b64
                    section.section_entropy,              # section_entropy
                    section.section_sha256,               # section_sha256
                    section.section_md5,                  # section_md5
                    section.section_size,                 # section_size
                    section.section_v_addr,               # section_v_addr
                    section.section_v_size,               # section_v_size
                    int(section.section_pointer_to_raw_data, 16),  # section_pointer_to_raw_data - convert from hex
                    current_time                          # analysis_date
                ])
            
            column_names = [
                'sha256', 'md5', 'sha1', 'section_name', 'section_name_b64',
                'section_entropy', 'section_sha256', 'section_md5', 'section_size',
                'section_v_addr', 'section_v_size', 'section_pointer_to_raw_data',
                'analysis_date'
            ]
            
            if not data:
                return None

            column_type_names = [
                'FixedString(64)', 'FixedString(32)', 'FixedString(40)',
                'LowCardinality(String)', 'LowCardinality(String)',
                'Float64', 'FixedString(64)', 'FixedString(32)', 'UInt64',
                'UInt64', 'UInt64', 'UInt64',
                'DateTime64(3, \'UTC\')'
            ]

            return (data, column_names, column_type_names)

    def get_clickhouse_table(self) -> str:
        return "redb_pe_sections"